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Model

This model was trained from scratch on an unknown dataset.

TipoOtherVersiónRevision d3f4bedCcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
449 MB
Versión
vRevision d3f4bed
Actualizado
19 sept 2026
Descargas
12
Fuente
Hugging Face

Descripción de la fuente

model

This model was trained from scratch on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 800
  • num_epochs: 10

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.18.0
  • Tokenizers 0.15.1

Fuentes

1 fuente
Hugging FacePrincipalVersión d3f4bed30119cbb4f0f3b77e5bd429308cf3f784
huggingface.co/jb6692/model/tree/d3f4bed30119cbb4f0f3b77e5bd429308cf3f784

Verificado 4 sept

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 449 MB · SHA-256 c8097bc39299…ccc0 · Hugging Face

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Extractos de fuentes

2 extractos

--- tags: - generated_from_trainer model-index: - name: model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # model This model was trained from scratch on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 800 - num_epochs: 10 ### Framework versions - Transformers 4.37.2 - Pytorch 2.2.0 - Datasets 2.18.0 - Tokenizers 0.15.1

Source context: 12 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo jb6692/model